i-Chip

An SoC based CNN Accelerator of Tiny-YOLOv2 for Blind Assistive System on FPGAs

With the development of Deep Learning, especially Convolutional Neural Networks (CNNs), there have been tremendous advances in neural networks for object detection. These models can accurately detect and categorize objects in a wide range of complex scenarios and have been practically applied in people's daily lives. However.....

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基於 FPGA 的 Micro-LED 實時色彩校正控制系統

Micro-LED 技術是一種新興的顯示技術，具有許多引人注目的優勢。首先，Micro-LED 顯示器擁有極高的亮度，這使得它在室內和室外環境中都能提供出色的視覺效果非常適合用於商業廣告牌和戶外大屏幕。其次，Micro LED 顯示器具有極低的功耗。相比傳統的液晶顯示器和有機發光二極管（OLED）顯示器，Micro-LED 顯示器在相同亮度水平下消耗的能量更少。這種低功耗有助於延長顯示器的使用壽命，同時降低能源消耗，符合環保和節能的要求。此外，.....

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A Reconfigurable Hardware Architecture for Spatial Temporal Graph Convolution Network

Graph Convolutional Networks (GCNs) are well-suited for human action recognition using skeleton data, as they handle non-Euclidean structures like human joints and avoid issues with environmental noise affecting RGB images. However, GCNs often suffer from high latency and low power efficiency on CPU and GPU platforms due to computational complexity. To address this.....

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A High-Performance Neural Network SoC for End-to-End Speaker Verification

With the development of Deep Learning, especially Convolutional Neural Networks (CNNs), there have been tremendous advances in neural networks for object detection. These models can accurately detect and categorize objects in a wide range of complex scenarios and have been practically applied in people's daily lives. However.....

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高效能抗噪語者辨識RISV-V系統晶片

隨著智慧家庭以及智慧城市的概念興起，神經網路的應用在我們的生活中隨處可見，其應用也非常廣泛，也帶給我們許多便利，例如自動駕駛或是語音辨識....

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Design and Implementation of Low-Power, Energy-Efficient Neural Network Training Hardware Accelerators Based on Brain Floating-Point Computing and Sparsity Aware

we propose an efficient and flexible training processor called EESA. The proposed training processor features low power consumption, high throughput, and high energy efficiency....

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基於矩陣乘法架構進行記憶體存取優化的CNN加速器

卷積層是卷積神經網絡 (CNN) 推理階段中計算成本最高的部分。有許多架構被提出來有效地處理它。在這些設計中，具有高度流水線結構的脈動陣列能夠有效地加速通用矩陣-矩陣乘法 (GEMM)....

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基於FPGA的可重構神經網路加速器應用於Tiny YOLO-V3

In recent year, the development of deep learning has been grown. According to the equipment updated and advanced, neural network could be handle has more and more things.....

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GMM語者辨識搭配MFCC硬體設計

In recent years, speaker verification has been extensively explored and has significantly improved its effectiveness. The proposed speaker verification system includes two phases: enrollment and verification.....

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以深度神經網路實現手勢辨識及其硬體架構設計

The research in deep learning has become extensively deep recently, such as image pre-processing, image segmentation, object recognition, semantic analysis, etc. Deep learning has gradually replaced the traditional algorithm....

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An SoC-based CNN Accelerator for Face Recognition using HWCK data scheduling

In response to the promotion of the smart city and smart home, people pay more and more attention to the quality of life, wishing the technology could change our life....

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即時的SIFT特徵點擷取之低記憶體硬體設計

Object matching and identification are the popular research in the field of computer vision. The methods are mainly based on feature matching. In many feature extraction algorithms, SIFT (Scale invariant feature transform) is considered to be one of the best algorithms.....

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MPEG-2 AAC Decoder

MPEG Advanced Audio Coding (AAC) is the widely used audio coding standard and offers the high-quality multi channel surround audio. For the implementation using DSP method...

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MPEG Layer 3 Single Chip Audio Decoder

MPEG Layer III (MP3) audio coding algorithm is a widely used audio coding standard...

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A Fast Binary Motion Estimation Algorithm for MPEG-4 Shape Coding

MPEG-4 is a new international standard for multimedia communication. It provides a set of tools for object-based coding of natural and synthetic videos/audios. MPEG-4 also enables content-based functionalities by introducing the concept of video object plane (VOP), and such a content-based representation

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